Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy

Rodríguez Vila, Borja and Gayá Moreno, Francisco Javier and García Vicente, Feliciano and Gómez Aguilera, Enrique J. (2010). Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy. "Medical Physics", v. 37 (n. 3); p. 1137. ISSN 0094-2405. https://doi.org/10.1118/1.3302916.

Description

Title: Three-dimensional quantitative evaluation method of nonrigid registration algorithms for adaptive radiotherapy
Author/s:
  • Rodríguez Vila, Borja
  • Gayá Moreno, Francisco Javier
  • García Vicente, Feliciano
  • Gómez Aguilera, Enrique J.
Item Type: Article
Título de Revista/Publicación: Medical Physics
Date: March 2010
ISSN: 0094-2405
Volume: 37
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Purpose: Current radiotherapy is progressing to the concept of adaptive radiotherapy, which implies the adaptation of planning along the treatment course. Nonrigid registration is an essential image processing tool for adaptive radiotherapy and image guided radiotherapy, and the three-dimensional (3D) nature of the current radiotherapy techniques requires a 3D quantification of the registration error that existing evaluation methods do not cover appropriately. The authors present a method for 3D evaluation of nonrigid registration algorithms’ performance, based on organ delineations, capable of working with near-spherical volumes even in the presence of concavities. Methods: The evaluation method is composed by a volume shape description stage, developed using a new ad hoc volume reconstruction algorithm proposed by the authors, and an error quantification stage. The evaluation method is applied to the organ delineations of prostate and seminal vesicles, obtained by an automatic segmentation method over images of prostate cancer patients treated with intensity modulated radiation therapy. Results: The volume reconstruction algorithm proposed has been shown to accurately model complex 3D surfaces by the definition of clusters of control points. The quantification method, inspired by the Haussdorf–Chebysev distance, provides a measure of the largest registration error per control direction, defining a valid metric for concave-convex volumes. Summarizing, the proposed evaluation methodology presents accurate results with a high spatial resolution in a negligible computation time in comparison with the nonrigid registration time. Conclusions: Experimental results show that the metric selected for quantifying the registration error is of utmost importance in a quantitative evaluation based on measuring distances between volumes. The accuracy of the volume reconstruction algorithm is not so relevant as long as the reconstruction is tight enough on the actual volume of the organ. The new evaluation method provides a smooth and accurate volume reconstruction for both the reference and the registered organ, and a complete 3D description of nonrigid registration algorithms’ performance, resulting in a useful tool for study and comparison of registration algorithms for adaptive radiotherapy.

More information

Item ID: 8604
DC Identifier: http://oa.upm.es/8604/
OAI Identifier: oai:oa.upm.es:8604
DOI: 10.1118/1.3302916
Official URL: http://online.medphys.org/resource/1/mphya6/v37/i3/p1137_s1?isAuthorized=no
Deposited by: Memoria Investigacion
Deposited on: 09 Aug 2011 10:29
Last Modified: 20 Apr 2016 17:20
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